Computational Methods and Deep Learning for Ophthalmology

<p>1. Classification of ocular diseases using transfer learning approaches and glaucoma severity grading</p> <p>D. Selvathi</p> <p>2. Early diagnosis of diabetic retinopathy using deep learning techniques</p> <p>Bam Bahadur Sinha, R. Dhanalakshmi and K. Balakrishnan</p> <p>3. Comparison of deep CNNs in the identification of DME structural changes in retinal OCT scans</p> <p>N. Padmasini, R. Umamaheswari, Mohamed Yacin Sikkandar and Manavi D. Sindal</p> <p>4. Epidemiological surveillance of blindness using deep learning approaches</p> <p>Kurubaran Ganasegeran and Mohd Kamarulariffin Kamarudin</p> <p>5. Transfer learning-based detection of retina damage from optical coherence tomography images</p> <p>Bam Bahadur Sinha, Alongbar Wary, R. Dhanalakshmi and K. Balakrishnan</p> <p>6. An improved approach for classification of glaucoma stages from color fundus images using Efficientnet-b0 convolutional neural network and recurrent neural network</p> <p>Poonguzhali Elangovan, D. Vijayalakshmi and Malaya Kumar Nath</p> <p>7. Diagnosis of ophthalmic retinoblastoma tumors using 2.75D CNN segmentation technique</p> <p>T. Jemima Jebaseeli and D. Jasmine David</p> <p>8. Fast bilateral filter with unsharp masking for the preprocessing of optical coherence tomography images - an aid for segmentation and classification</p> <p>Ranjitha Rajan and S.N. Kumar</p> <p>9. Deep learning approaches for the retinal vasculature segmentation in fundus images</p> <p>V. Sathananthavathi and G. Indumathi</p> <p>10. Grading of diabetic retinopathy using deep learning techniques</p> <p>Asha Gnana Priya H, Anitha J and Ebenezer Daniel</p> <p>11. Segmentation of blood vessels and identification of lesion in fundus image by using fractional derivative in fuzzy domain</p> <p>V.P. Ananthi and G. Santhiya</p> <p>12. U-net autoencoder architectures for retinal blood vessels segmentation</p> <p>S. Deivalakshmi, R. Adarsh, J. Sudaroli Sandana and Gadipudi Amarnageswarao</p> <p>13. Detection and diagnosis of diseases by feature extraction and analysis on fundus images using deep learning techniques</p> <p>Ajantha Devi Vairamani</p>